Abstract

Abstract
The active participation of small-scale prosumers and consumers with demand-response capability and renewable resources can be a potential solution to the environmental issues and flexibility-related challenges. Local energy markets based on peer-to-peer trading is defined as one of solutions to exploit the maximum flexibility potential of prosumers. However, the existing literature that proposed peer-to-peer based local energy markets did not lead to respecting the peers' energy trading preferences simultaneously in the profitable market settlement. To solve this issue, a new local energy market model is presented in which network users can trade with their preferred trading partners within the local market as well as the grid. The proposed trading model includes two levels to consider both the democracy and the profitability of energy trading. At the first level, the model considers the trading preferences of each player to respect the peers' choices. The second level matches the rest of the bids and offers of the local buyers and sellers aiming to maximize the social welfare of all of the players participating in the local market. Our proposed local market is implemented for a test system consisting of fifteen residential players, and the results are compared to other trading models through different comparison criteria such as social-welfare of all players and the net cost of each individual player from consuming electricity. According to the results, the proposed model stands in the second rank compared to the other models that do not simultaneously consider preferences and social welfare of the peers, in terms of social welfare, total profits of the players, and the sustainability and liquidity-based criteria. The proposed model achieves 1416-Cent as the total net energy costs of all peers and the total accepted blocks equaling 76. This means that the proposed local market model can still be profitable and liquid while respecting the players' trading preferences and choices.

Abstract

Abstract
The participation of household prosumers in wholesale electricity markets is very limited, considering the minimum participation limit imposed by most market participation rules. The generation capacity of households has been increasing since the installation of distributed generation from renewable sources in their facilities brings advantages for themselves and the system. Due to the growth of self-consumption, network operators have been putting aside the purchase of electricity from households, and there has been a reduction in the price of these transactions. This paper proposes an innovative model that uses the aggregation of households to reach the minimum limits of electricity volume needed to participate in the wholesale market. In this way, the Aggregator represents the community of households in market sales and purchases. An electricity transactions portfolio optimization model is proposed to enable the Aggregator reaching the decisions on which markets to participate to maximize the market negotiation outcomes, considering the day-ahead market, intra-day market, and retail market. A case study is presented, considering the Iberian wholesale electricity market and the Portuguese retail market. A community of 50 prosumers equipped with photovoltaic generators and individual storage systems is used to carry out the experiments. A cost reduction of 6-11% is achieved when the community of households buys and sells electricity in the wholesale market through the Aggregator.

Abstract
Organizations need well-prepared teams to perform their projects with efficiency and effectiveness. In such socio-technical systems, project teams' capability to face and surpass difficulties play a critical role for the organizational reliability. Hence the relevance of studying project team resilience, defined here as the team's ability to deal with problems, overcome obstacles, and quickly recover from adverse and possibly harmful situations without collapsing. This paper presents an empirically-tested theoretical model for explaining team resilience. Results show that several factors such as Trust & Solidarity, Focus on results, Commitment, Management & Accountability, Embracing conflicts, Work conditions, and Skills & Behaviors are important contributors for team resilience. The findings discussed here contribute both to a better understanding of how project team resilience can be studied theoretically and improved in practice and to determine the triggers to ensure the proper adjustments to improve the overall organizational resilience and consequent reliability and performance.

Abstract